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arXiv 2001.04392cs.FLcs.GT

博弈友好型 $\omega$-下推自动机

Good-for-games $ω$-Pushdown Automata

Karoliina Lehtinen, Martin Zimmermann

AI总结:

本文引入博弈友好型 $\omega$-下推自动机,证明其比确定性自动机更具表达力,且其博弈求解为 EXPTIME 完全,并研究其闭包性质、判定问题及资源需求。

摘要:

我们引入了博弈友好型 $\omega$-下推自动机($\omega$-GFG-PDA)。这类自动机的非确定性可以基于迄今为止处理过的输入来消解。博弈友好性使得自动机能够与博弈、树及其他自动机进行组合,而这些应用在其他情况下需要确定性自动机。我们的主要结果是:$\omega$-GFG-PDA 比确定性 $\omega$-下推自动机更具表达力,并且求解以 $\omega$-GFG-PDA 指定的获胜条件的无限博弈是 EXPTIME 完全的。因此,我们识别了一类新的 $\omega$-上下文无关获胜条件,对于这些条件,博弈求解是可判定的。由此可知,$\omega$-GFG-PDA 的普适性问题也在 EXPTIME 中。此外,我们研究了 $\omega$-GFG-PDA 所识别语言类的闭包性质,以及 $\omega$-下推自动机和语言的博弈友好性的可判定性。最后,我们将 $\omega$-GFG-PDA 与 $\omega$-可见下推自动机进行比较,研究了消解 $\omega$-GFG-PDA 中非确定性所需的资源,并证明了 $\omega$-GFG-PDA 的奇偶指标层级是无限的。这是论文 arXiv:2001.04392v6(最初于2022年1月7日发布)的修正版本。

英文摘要:

We introduce good-for-games $ω$-pushdown automata ($ω$-GFG-PDA). These are automata whose nondeterminism can be resolved based on the input processed so far. Good-for-gameness enables automata to be composed with games, trees, and other automata, applications which otherwise require deterministic automata. Our main results are that $ω$-GFG-PDA are more expressive than deterministic $ω$- pushdown automata and that solving infinite games with winning conditions specified by $ω$-GFG-PDA is EXPTIME-complete. Thus, we have identified a new class of $ω$-contextfree winning conditions for which solving games is decidable. It follows that the universality problem for $ω$-GFG-PDA is in EXPTIME as well. Moreover, we study closure properties of the class of languages recognized by $ω$-GFG- PDA and decidability of good-for-gameness of $ω$-pushdown automata and languages. Finally, we compare $ω$-GFG-PDA to $ω$-visibly PDA, study the resources necessary to resolve the nondeterminism in $ω$-GFG-PDA, and prove that the parity index hierarchy for $ω$-GFG-PDA is infinite. This is a corrected version of the paper arXiv:2001.04392v6 published originally on January 7, 2022.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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